ENSCO, Inc.

Technology

JuniorMachineLearningEngineer

$65–107k Melbourne, Florida, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Junior candidates.

The Brief

“Junior Machine Learning Engineer at ENSCO, Inc.. Skills: Machine Learning, Deep Learning, Data Analytics, Algorithm Development. Apply ML and DL models. Understand problem sets”

Industry & Context.

Technology
Problems you'll solve

Address difficult problem sets

Eligibility Requirements

US security clearance, U. S. Citizen

What They're Looking For.

Must Have

Bachelors degree in Machine Learning, 2 years related industry experience, Linux environment programming, Structured and unstructured databases, Advanced proficiency Python, Deep Learning frameworks experience, Large data sets experience, Obtain and maintain US security clearance

Nice to Have

Masters or PhD degree, ML/DL algorithms extracting signal, Develop solutions using disparate data, DevOps experience, Container orchestration technologies experience, Active TS/SCI clearance

What You'll Do.

Apply ML and DL models

Understand problem sets

Understand physical data feature sets

Understand parameters

Apply signal processing

Apply feature extraction

Apply ML and DL solutions

Assess algorithm performance

How You'll Work.

Team & Collaboration

Work closely with senior scientist

Communication Scope

Oral communication; Written communication

Full Job Description

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide. ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains. Learn more about ENSCO. Position Description ENSCO, Inc. is seeking a Junior Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets. Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters. The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions. Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments. ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security. A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets. Qualifications Required: • Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline. Direct relevant military experience will also be considered. • Minimum of 2 years related industry experience in machine learning, data science, and analytics. • Proven track record of successful data science and algorithm implementation. • A self-starter with excellent oral and written communication skills. • Experience navigating and programming within the Linux environment. • Experience working with s

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